Large Dual Encoders Are Generalizable Retrievers

Research article (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022) · cited 146× · AI/ML
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Large Dual Encoders Are Generalizable Retrievers

Summary

Large Dual Encoders Are Generalizable Retrievers is a scholarly article[1].

Key Facts

  • Large Dual Encoders Are Generalizable Retrievers's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] . wikidata.org.

Class ancestry

  1. [1] . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Large Dual Encoders Are Generalizable Retrievers. Retrieved May 24, 2026, from https://4ort.xyz/entity/large-dual-encoders-are-generalizable-retrievers
MLA “Large Dual Encoders Are Generalizable Retrievers.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/large-dual-encoders-are-generalizable-retrievers.
BibTeX @misc{4ortxyz_large-dual-encoders-are-generalizable-retrievers_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Large Dual Encoders Are Generalizable Retrievers}}, year = {2026}, url = {https://4ort.xyz/entity/large-dual-encoders-are-generalizable-retrievers}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Large Dual Encoders Are Generalizable Retrievers — https://4ort.xyz/entity/large-dual-encoders-are-generalizable-retrievers (retrieved 2026-05-24)

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